The reconstruction of charged particles trajectories is a crucial task for most particle physics
experiments. The high instantaneous luminosity achieved at the LHC leads to a high number
of proton-proton collisions per bunch crossing, which has put the track reconstruction
software of the LHC experiments through a thorough test. Preserving track reconstruction
performance under increasingly difficult experimental conditions, while keeping the usage
of computational resources at a reasonable level, is an inherent problem for many HEP experiments.
Exploiting concurrent algorithms and using multivariate techniques for track identification
are the primary strategies to achieve that goal.
Starting from current ATLAS software, the ACTS project aims to encapsulate track reconstruction
into a generic package, which can be built against the Gaudi(Hive) framework. It provides a set
of high-level algorithms and data structures for performing track reconstruction tasks as well as
fast track simulation. The software is developed with special emphasis on thread-safety to support
parallel execution of the code and data structures are optimized for vectorization to speed up
linear algebra operations. The implementation is agnostic to the details of the detection technologies
and magnetic field configuration which makes it applicable to many different experiments.
|Secondary Keyword (Optional)||Algorithms|
|Primary Keyword (Mandatory)||Reconstruction|
|Tertiary Keyword (Optional)||Parallelization|